CN105472250A - Automatic focusing method and device - Google Patents
Automatic focusing method and device Download PDFInfo
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- CN105472250A CN105472250A CN201510984980.8A CN201510984980A CN105472250A CN 105472250 A CN105472250 A CN 105472250A CN 201510984980 A CN201510984980 A CN 201510984980A CN 105472250 A CN105472250 A CN 105472250A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention provides an automatic focusing method and device. The method comprises the following steps: moving a focusing motor to a first position according to a set focusing mode, and calculating first definition evaluation values of blocks; moving the focusing motor to a second position, and calculating second definition evaluation values of the blocks; identifying blocks occupied by objects under one object distance in an image in the focusing mode according to change rates of the definition evaluation values of the blocks and a change rate mean value, wherein the objects under one object distance comprise a target object; and setting a definition evaluation value weight of a block where the target object is positioned as an effective weight, setting the definition evaluation value weights of the blocks where other objects are positioned as ineffective weights, and searching for a focusing block to focus. Through adoption of the automatic focusing method and device, a definition evaluation function of a multi-object multi-object-distance image can meet a unimodal property; a network camera can automatically finish switching between a near-object-distance focusing mode and a far-object-distance focusing mode specific to scene features; and target object focusing is realized.
Description
Technical field
The present invention relates to technical field of video monitoring, particularly relate to a kind of auto focusing method and device.
Background technology
According to focusing general principle, the accuracy of camera automatic focusing depends on focus degree evaluation function, and sharpness evaluation function needs to possess fundamental characteristics below: unimodality, unbiasedness, monotonicity, sensitivity, to-noise ratio.In video monitoring scene, if multiple target object is present in different object distances, the definition evaluation of estimate of whole picture presents the trend shown in Fig. 1, and namely sharpness evaluation function can be present in multiple object distance because of object, and occurs multiple peak value, does not meet unimodality.Video camera can because of the initial position difference of focus motor when carrying out automatic focus, and there is different focusing results, as shown in Figure 2, time near the definition evaluation of estimate peak value of the initial position object on hand of focus motor, focusing results may be that near objects can be clear, distant objects is fuzzy, and the initial position of focus motor a long way off its near vicinity time, it is clear that focusing results then shows as distant objects, near objects Relative Fuzzy, thus occurring that focusing results shows inconsistent problem, affect Consumer's Experience.
In prior art, focus motor is moved to target object place by manual adjustments by user, but prior art needs user's manual adjustments, cannot realize the automatic focus of video camera, use inconvenience, and adds the workload of user.
Summary of the invention
The invention provides a kind of auto focusing method and device, to solve in prior art under multiple object is present in the scene of different object distances, video camera cannot complete the switching of nearly object distance and object distance focusing mode far away automatically for scene characteristics, the problem of realize target object focus.
According to the first aspect of the embodiment of the present invention, provide a kind of auto focusing method, described method is applied on web camera, and the image of shooting is divided into multiple block, and described method comprises:
According to the focusing mode arranged in described web camera, focus motor is moved to primary importance, calculate the first definition evaluation of estimate of each block; Focus motor is moved to the second place, calculates the second definition evaluation of estimate of each block;
According to described first definition evaluation of estimate and described second definition evaluation of estimate, calculate the rate of change of each block definition evaluation of estimate, and the rate of change average of each block definition evaluation of estimate;
According to rate of change and the rate of change average of each block definition evaluation of estimate, the block that the object under identifying described focusing mode under same object distance is shared in the picture, wherein, the object under described same object distance comprises target object;
The definition evaluation of estimate weight of described target object place block is set to effective weight, the definition evaluation of estimate weight of other object place blocks is set to invalid weight, search focuses on block and focuses on.
According to the second aspect of the embodiment of the present invention, provide a kind of autofocus, the image of shooting, on plant network video camera, is divided into multiple block by described application of installation, and described device comprises:
Setting unit, for according to the focusing mode arranged in described web camera, moves to primary importance by focus motor, calculates the first definition evaluation of estimate of each block; Focus motor is moved to the second place, calculates the second definition evaluation of estimate of each block;
Computing unit, for according to described first definition evaluation of estimate and described second definition evaluation of estimate, calculates the rate of change of each block definition evaluation of estimate, and the rate of change average of each block definition evaluation of estimate;
Recognition unit, for according to the rate of change of each block definition evaluation of estimate and rate of change average, the block that the object under identifying described focusing mode under same object distance is shared in the picture, wherein, the object under described same object distance comprises target object;
Focusing unit, for the definition evaluation of estimate weight of described target object place block is set to effective weight, is set to invalid weight by the definition evaluation of estimate weight of other object place blocks, and search focuses on block and focuses on.
The application embodiment of the present invention, by image is divided into different blocks, according to the focusing mode arranged in web camera, moves to primary importance by focus motor, calculates the first definition evaluation of estimate of each block; Focus motor is moved to the second place, calculates the second definition evaluation of estimate of each block; According to rate of change and the rate of change average of each block definition evaluation of estimate, the block that the object under identifying described focusing mode under same object distance is shared in the picture; The definition evaluation of estimate weight of target object place block is set to effective weight, the definition evaluation of estimate weight of other object place blocks is set to invalid weight, obtain the current definition evaluation of estimate of image, search focuses on block and focuses on.Thus, the sharpness evaluation function of the many object many object distances images after processing meets unimodality to use technical solution of the present invention to ensure, web camera also can complete the switching of nearly object distance and object distance focusing mode far away automatically for scene characteristics, realize target object focus, improves the experience of user.
Accompanying drawing explanation
Accompanying drawing to be herein merged in specification and to form the part of this specification, shows embodiment according to the invention, and is used from specification one and explains principle of the present invention.
Fig. 1 is the definition evaluation of estimate schematic diagram of image when multiple target object is present in different object distances in monitored picture in prior art;
Fig. 2 is the different focusing results schematic diagrames that when multiple target object is present in different object distances in monitored picture in prior art, video camera may occur;
Fig. 3 is auto focusing method flow chart in one embodiment of the present invention;
Fig. 4 is for carrying out the definition evaluation of estimate schematic diagram after focusing on process to the monitored picture shown in Fig. 2 in one embodiment of the present invention;
Fig. 5 is the hardware environment Organization Chart that in one embodiment of the present invention, autofocus runs;
Fig. 6 is autofocus block diagram in one embodiment of the present invention.
Embodiment
Techniques of Automatic Focusing scheme provided by the invention can apply field of video monitoring, as power plant, bank or other monitoring places, such as, in power plant, monitoring frontend such as ball machine web camera may need the target object periodically rotated with for different directions to monitor.Web camera forward to a direction carry out target object monitor time, may be different due to the object depth of field in monitored picture, when carrying out the erection of web camera, user can be arranged for the focusing mode of the monitoring scene of web camera to web camera.Such as, if there is the background of texture-rich after the target object that will monitor in certain distance, optional nearly object distance focusing mode; If there is interfering object between the target object monitored and web camera, object distance focusing mode far away can be selected.Thus, the sharpness evaluation function of the many object many object distances images after processing meets unimodality to use technical solution of the present invention to ensure, web camera also can complete the switching of nearly object distance and object distance focusing mode far away automatically for scene characteristics, realize target object focus, improves the experience of user.
Nearly object distance focusing mode in the present invention refers to the focusing mode preferentially searching for focal zone from nearly object distance place, and object distance focusing mode far away refers to the focusing mode preferentially searching for focal zone from object distance place far away.
Image in the present invention captured by web camera is divided into multiple block.Below by specific embodiment, this bright scheme is described in detail.
See Fig. 3, be auto focusing method flow chart in one embodiment of the present invention:
Step 301: according to the focusing mode arranged in described web camera, focus motor is moved to primary importance, calculates the first definition evaluation of estimate of each block; Focus motor is moved to the second place, calculates the second definition evaluation of estimate of each block.
Particularly, if the focusing mode arranged in web camera is nearly object distance focusing mode, then can illustrate that target object is positioned at nearly object distance position, when focus motor being arranged on the primary importance at nearly object distance place, calculate the first definition evaluation of estimate FVAi of each block of image, wherein i can be the mark of image block, continues adjustment focus motor step number, arrive the second place, calculate the first definition evaluation of estimate FVBi of each block of image.Because the distance between usual primary importance and the second place can not be long, specifically, if walk a focusing curve to need 1000 steps, the chances are 10 ~ 20 steps of the distance so between primary importance and the second place.
If the focusing mode arranged in web camera is nearly object distance focusing mode, then can illustrate that target object is positioned at object distance position far away, when focus motor being arranged on the primary importance at object distance place far away, calculate the first definition evaluation of estimate FVAi of each block of image, wherein i can be the mark of image block, adjustment focus motor step number, arrives the second place, calculates the first definition evaluation of estimate FVBi of each block of image.
Step 302: according to described first definition evaluation of estimate and described second definition evaluation of estimate, calculate the rate of change of each block definition evaluation of estimate, and the rate of change average of each block definition evaluation of estimate.
Concrete, the rate of change Ri of the first definition evaluation of estimate position of each block at the second definition evaluation of estimate relative first position place of each block of formulae discovery second position below can be used:
Ri＝(FVBi-FVAi)/FVAi(1)
And then use the average rate of change Ravg of each block definition evaluation of estimate of formulae discovery current picture below:
Ravg＝Sum(Ri)/(M*N)(2)
Wherein, (M*N) block number of being divided for image.
Step 303: according to rate of change and the rate of change average of each block definition evaluation of estimate, the block that the object under identifying described focusing mode under same object distance is shared in the picture, wherein, the object under described same object distance comprises target object.
Concrete, can traversing graph as the rate of change Ri of the definition changing value of each block, compared with average rate of change Ravg, mark meets the block of Ri>k*Ravg, be the block that object under same object distance is shared in the picture, wherein, k is change weight, and occurrence is empirical value.
Step 304: the definition evaluation of estimate weight of described target object place block is set to effective weight, is set to invalid weight by the definition evaluation of estimate weight of other object place blocks, and search focuses on block and focuses on.
Step 303 have identified the object be under same object distance block shared in the picture, wherein when focusing mode is nearly object distance focusing mode, described target object is nearly object distance object, and when described focusing mode is object distance focusing mode far away, described target object is object distance object far away.
After the block of hard objectives object place, changeable weight can be set for this target object place block, interfering object weight is set to invalid weight, as can 0 be set to, after target object place block is set to effective weight, the focus degree evaluation of estimate of each block can be obtained, then use searching algorithm, as climbing method search focus point, namely focus on block and carry out focusing on.It should be noted that, changeable weight is empirical value, weight corresponding to each block can identical also can not be identical, specifically can determine according to practical experience.Invalid weight is not that finger must not have weight or weight to be 0, as long as little relative to weight effective weight, impact property is little.
See Fig. 4, for carrying out the definition evaluation of estimate schematic diagram after focusing on process to the monitored picture shown in Fig. 2 in one embodiment of the present invention, can see by figure, when target object is nearly object distance object, the definition appraisal curve of thick line can be obtained, when target object is object distance object far away, can obtain the definition appraisal curve of fine rule, definition appraisal curve meets unimodality.
Embodiment shown in composition graphs 3 is known, and focus motor, by image is divided into different blocks, according to the focusing mode arranged in web camera, is moved to primary importance by the present invention, calculates the first definition evaluation of estimate of each block; Focus motor is moved to the second place, calculates the second definition evaluation of estimate of each block; According to rate of change and the rate of change average of each block definition evaluation of estimate, the block that the object under identifying described focusing mode under same object distance is shared in the picture; The definition evaluation of estimate weight of target object place block is set to effective weight, the definition evaluation of estimate weight of other object place blocks is set to invalid weight, obtain the current definition evaluation of estimate of image, search focuses on block and focuses on, thus ensure that the sharpness evaluation function of the many object many object distances images after process meets unimodality, web camera also can complete the switching of nearly object distance and object distance focusing mode far away automatically for scene characteristics, realize target object focus, improves the experience of user.
See Fig. 5, be the hardware environment Organization Chart that autofocus in one embodiment of the present invention runs:
The embodiment of autofocus of the present invention can be applied in monitoring frontend, as on web camera.Device embodiment can pass through software simulating, also can be realized by the mode of hardware or software and hardware combining.For software simulating, as the device on a logical meaning, be by the CPU of its place equipment, computer program instructions corresponding in nonvolatile memory is read operation in internal memory to be formed.Say from hardware view; as shown in Figure 5; for the present invention is by a kind of hardware structure diagram of the device place equipment of business write operation reparation mirror image synchronization; except the CPU shown in Fig. 5, internal memory, network interface and nonvolatile memory, in embodiment, the equipment at device place can also comprise other hardware usually.
See Fig. 6, it is autofocus block diagram in one embodiment of the present invention.
Device comprises: setting unit 610, computing unit 620, recognition unit 630 and focusing unit 640.
Wherein, setting unit 610, for according to the focusing mode arranged in described web camera, moves to primary importance by focus motor, calculates the first definition evaluation of estimate of each block; Focus motor is moved to the second place, calculates the second definition evaluation of estimate of each block;
Computing unit 620, for according to described first definition evaluation of estimate and described second definition evaluation of estimate, calculates the rate of change of each block definition evaluation of estimate, and the rate of change average of each block definition evaluation of estimate;
Recognition unit 630, for according to the rate of change of each block definition evaluation of estimate and rate of change average, the block that the object under identifying described focusing mode under same object distance is shared in the picture, wherein, the object under described same object distance comprises target object;
Focusing unit 640, for the definition evaluation of estimate weight of described target object place block is set to effective weight, is set to invalid weight by the definition evaluation of estimate weight of other object place blocks, and search focuses on block and focuses on.
Wherein, when focusing mode is nearly object distance focusing mode, described target object is nearly object distance object, and when described focusing mode is object distance focusing mode far away, described target object is object distance object far away.
Optionally, recognition unit 630 specifically for: the rate of change traveling through the definition evaluation of estimate of each block, the rate of change object be greater than in the block of predetermined threshold value of described definition evaluation of estimate is identified as the object of same object distance.
Optionally, setting unit 610 specifically for: if set focusing mode is nearly object distance focusing mode, then described primary importance is positioned at nearly object distance position, adjustment focus motor step number, to the second place, calculates the definition evaluation of estimate of each block when described focus motor is positioned at primary importance and the second place respectively; If set focusing mode is object distance focusing mode far away, then described primary importance is positioned at object distance position far away, adjustment focus motor step number, to the second place, calculates the definition evaluation of estimate of each block when described focus motor is positioned at primary importance and the second place respectively.
Optionally, described computing unit 620 is specifically for the difference that calculates the second definition evaluation of estimate corresponding to each block and the first definition evaluation of estimate, calculate the ratio of described difference and described first definition evaluation of estimate, obtain the rate of change of corresponding block definition evaluation of estimate; Calculate the rate of change of each block definition evaluation of estimate and the ratio of number of blocks that comprises with every two field picture, obtain the rate of change average of each block definition evaluation of estimate.
In said apparatus, the implementation procedure of the function and efficacy of unit specifically refers to the implementation procedure of corresponding step in said method, does not repeat them here.
Those skilled in the art, at consideration specification and after putting into practice invention disclosed herein, will easily expect other embodiment of the present invention.The application is intended to contain any modification of the present invention, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present invention and comprised the undocumented common practise in the art of the present invention or conventional techniques means.Specification and embodiment are only regarded as exemplary, and true scope of the present invention and spirit are pointed out by claim below.
Should be understood that, the present invention is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.Scope of the present invention is only limited by appended claim.
Claims (10)
1. an auto focusing method, is characterized in that, described method is applied on web camera, and the image of shooting is divided into multiple block, and described method comprises:
According to the focusing mode arranged in described web camera, focus motor is moved to primary importance, calculate the first definition evaluation of estimate of each block; Focus motor is moved to the second place, calculates the second definition evaluation of estimate of each block;
According to described first definition evaluation of estimate and described second definition evaluation of estimate, calculate the rate of change of each block definition evaluation of estimate, and the rate of change average of each block definition evaluation of estimate;
According to rate of change and the rate of change average of each block definition evaluation of estimate, the block that the object under identifying described focusing mode under same object distance is shared in the picture, wherein, the object under described same object distance comprises target object;
The definition evaluation of estimate weight of described target object place block is set to effective weight, the definition evaluation of estimate weight of other object place blocks is set to invalid weight, search focuses on block and focuses on.
2. method according to claim 1, is characterized in that, the described rate of change according to each block definition evaluation of estimate and rate of change average, identifies different object distances object place block, comprising:
Travel through the rate of change of the definition evaluation of estimate of each block, the rate of change object be greater than in the block of predetermined threshold value of described definition evaluation of estimate is identified as the object of same object distance.
3. method according to claim 1, is characterized in that, the described focusing mode according to arranging in described web camera, moves to primary importance by focus motor, calculates the first definition evaluation of estimate of each block; Focus motor is moved to the second place, calculates the second definition evaluation of estimate of each block, comprising:
If set focusing mode is nearly object distance focusing mode, then described primary importance is positioned at nearly object distance position, adjustment focus motor step number, to the second place, calculates the definition evaluation of estimate of each block when described focus motor is positioned at primary importance and the second place respectively;
If set focusing mode is object distance focusing mode far away, then described primary importance is positioned at object distance position far away, adjustment focus motor step number, to the second place, calculates the definition evaluation of estimate of each block when described focus motor is positioned at primary importance and the second place respectively.
4. method according to claim 1, it is characterized in that, described according to described first definition evaluation of estimate and described second definition evaluation of estimate, calculate the rate of change of each block definition evaluation of estimate, and the rate of change average of each block definition evaluation of estimate, comprising:
Calculate the difference of the second definition evaluation of estimate corresponding to each block and the first definition evaluation of estimate, calculate the ratio of described difference and described first definition evaluation of estimate, obtain the rate of change of corresponding block definition evaluation of estimate;
Calculate the rate of change of each block definition evaluation of estimate and the ratio of number of blocks that comprises with every two field picture, obtain the rate of change average of each block definition evaluation of estimate.
5. method according to claim 3, is characterized in that, when described focusing mode is nearly object distance focusing mode, described target object is nearly object distance object, and when described focusing mode is object distance focusing mode far away, described target object is object distance object far away.
6. an autofocus, is characterized in that, the image of shooting, on web camera, is divided into multiple block by described application of installation, and described device comprises:
Setting unit, for according to the focusing mode arranged in described web camera, moves to primary importance by focus motor, calculates the first definition evaluation of estimate of each block; Focus motor is moved to the second place, calculates the second definition evaluation of estimate of each block;
Computing unit, for according to described first definition evaluation of estimate and described second definition evaluation of estimate, calculates the rate of change of each block definition evaluation of estimate, and the rate of change average of each block definition evaluation of estimate;
Recognition unit, for according to the rate of change of each block definition evaluation of estimate and rate of change average, the block that the object under identifying described focusing mode under same object distance is shared in the picture, wherein, the object under described same object distance comprises target object;
Focusing unit, for the definition evaluation of estimate weight of described target object place block is set to effective weight, is set to invalid weight by the definition evaluation of estimate weight of other object place blocks, and search focuses on block and focuses on.
7. device according to claim 6, it is characterized in that, described recognition unit specifically for: the rate of change traveling through the definition evaluation of estimate of each block, the rate of change object be greater than in the block of predetermined threshold value of described definition evaluation of estimate is identified as the object of same object distance.
8. device according to claim 6, is characterized in that, described setting unit specifically for:
If set focusing mode is nearly object distance focusing mode, then described primary importance is positioned at nearly object distance position, the second place is counted in adjustment focus motor pacing, calculates the definition evaluation of estimate of each block when described focus motor is positioned at primary importance and the second place respectively;
If set focusing mode is object distance focusing mode far away, then described primary importance is positioned at object distance position far away, adjustment focus motor step number, to the second place, calculates the definition evaluation of estimate of each block when described focus motor is positioned at primary importance and the second place respectively.
9. device according to claim 6, is characterized in that, described computing unit specifically for:
Calculate the difference of the second definition evaluation of estimate corresponding to each block and the first definition evaluation of estimate, calculate the ratio of described difference and described first definition evaluation of estimate, obtain the rate of change of corresponding block definition evaluation of estimate;
Calculate the rate of change of each block definition evaluation of estimate and the ratio of number of blocks that comprises with every two field picture, obtain the rate of change average of each block definition evaluation of estimate.
10. device according to claim 8, is characterized in that, when described focusing mode is nearly object distance focusing mode, described target object is nearly object distance object, and when described focusing mode is object distance focusing mode far away, described target object is object distance object far away.
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